Clustering based fuzzy controller for speed control of DC motor

ISBN-13: 9783659820731 / Angielski / Miękka / 2015 / 68 str.

Tushir Meena;Goel Sonia

Opis

Fuzzy c-means (FCM) Clustering has been used to partition the input-output data and to determine the number of rules. By assuming Gaussian membership function for the premise parts, hybrid learning algorithm is used to update its parameters. This book presents a research work towards the development of a T-S fuzzy model for the speed control of dc motors. To be specific, an attempt is made to design a clustering based fuzzy logic controller for speed control of dc motors. The proposed approach provides a mechanism to obtain the reduced rule-set covering the whole input/output space as well as the parameters of membership functions for each input variable. The entire system has been modeled using MATLAB 7.0/Simulink toolbox.

O autorze

Dr Meena Tushir is currently working as Associate Professor in Department of Electrical Engineering in MSIT, New Delhi. Her current research interests include neural networks, fuzzy logic, modelling, identification, and control of nonlinear systems.Ms Sonia Goel is an Assistant Professor in the Department of Electrical Engineering.